Assessment of two novel renal tubular proteins in type 2 diabetic patients with nephropathy

2019 ◽  
Vol 68 (3) ◽  
pp. 748-755 ◽  
Author(s):  
Muhammad Tarek Abdel Ghafar ◽  
Khaled Hamed Shalaby ◽  
Hanaa Ibrahim Okda ◽  
Rehab E Abo El gheit ◽  
Nema Ali Soliman ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Early Stage ◽  
Characteristic Curve ◽  
Cyclophilin A ◽  
Diabetic Patients ◽  
Early Prediction ◽  
Group I ◽  
Renal Tubular ◽  
Tubular Proteins

Nephropathy is a common health issue associated with type 2 diabetes mellitus (T2DM). Treatment of diabetic nephropathy (DN) in an early stage can effectively inhibit its progression. Albuminuria is the currently accepted marker for detection of DN.This study aims to evaluate the urinary level of two novel renal tubular proteins (cyclophilin A and periostin) in patients with T2DM and among different nephropathy stages and also to validate the diagnostic accuracy of both cyclophilin A and periostin as potential markers for early prediction of DN relative to albuminuria.This cross-sectional study recruited 137 patients with T2DM, and they were divided based on their urinary albumin:creatinine ratio into T2DM with normoalbuminuria (group II), incipient T2DN with microalbuminuria (group III) and overt T2DN with macroalbuminuria (groupIV) beside 41 healthy subjects as group I. Cyclophilin A and periostin were measured in the urine using ELISA. Diagnostic accuracy of both markers was determined for prediction of DN via receiver operating characteristic curve analyses.Urinary cyclophilin A and periostin levels were significantly higher in DN groups when compared with T2DM with normoalbuminuria group. For prediction of incipient and overt DN, areas under the curve (AUCs) of periostin were 0.954, 0.997 and cyclophilin A were 0.914, 0.937, respectively. AUCs of periostin were higher than that for cyclophilin A with a significant AUC difference (p=0.022) in overt DN stage.Periostin and cyclophilin A could be regarded as a potential urinary biomarker for early prediction of DN. Periostin exhibits a higher diagnostic accuracy than urinary cyclophilin A specifically in overt DN stage.

Evaluation of urinary TNF-α and KIM-1 biomarkers in T2DM in Upper Egypt

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Magdy EL Sharkawy ◽  
Samir K Abdul-Hamid ◽  
Tarek T Elmelegy ◽  
Mohammed F Adawy
Keyword(s):  
Diabetic Nephropathy ◽  
Early Stage ◽  
Clinical Syndrome ◽  
Diabetic Patients ◽  
University Hospitals ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Tnf Α ◽  
Type 2 Diabetic

Abstract Background Diabetes mellitus (DM) is the most frequent cause of chronic kidney failure in both developed and developing countries. Diabetic nephropathy, is a clinical syndrome characterized by albuminuria (>300 mg/day) with permanent and irreversible decrease in glomerular filtration rate (GFR). Aim of the Work To study the role of urinary TNF-α and urine KIM-1 in type 2 diabetic patients as predictors of DN comparative with albuminuria. Patients and Methods This is a cross-sectional study which include 90 type-2 diabetic patients and 30 controls selected from the outpatient clinic of Assiut University hospitals. All patients gave an informed consent and approval for the study was obtained from the IRB committee of the Assiut Medical Faculty. The recruited patients were divided into three groups: Normo-albuminuria Group (A) (n = 30): UACR less than 30 mg/gm, Microalbuminuria Group (B) (n = 30): UACR between 30-299 mg/gm and Macro-albuminuria Group (C) (n = 30): UACR equal or more than 300 mg/gm. Assess Urinary TNF-α and urine KIM-1 in comparision with albuminuria. Results Urinary KIM-1 and urinary TNF-α are statically significant with albuminuria in patients in the early stage of diabetic nephropathy (eGFR _60 mL/min/1.73 m2).Also there are statically significance between patients with macroalbuminuria than microalbuminuria. Conclusion The results of this study recommend the use of KIM-1 and TNF-α as good predictors of early detection of development of diabetic nephropathy.

scholarly journals MMP-10 is Increased in Early Stage Diabetic Kidney Disease and can be Reduced by Renin-Angiotensin System Blockade

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
José María Mora-Gutiérrez ◽  
José Antonio Rodríguez ◽  
María A. Fernández-Seara ◽  
Josune Orbe ◽  
Francisco Javier Escalada ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Early Stage ◽  
Renin Angiotensin System ◽  
Diabetic Patients ◽  
Diabetic Mice ◽  
Angiotensin System ◽  
Diabetic Kidney ◽  
Renin Angiotensin

AbstractMatrix metalloproteinases have been implicated in diabetic microvascular complications. However, little is known about the pathophysiological links between MMP-10 and the renin-angiotensin system (RAS) in diabetic kidney disease (DKD). We tested the hypothesis that MMP-10 may be up-regulated in early stage DKD, and could be down-regulated by angiotensin II receptor blockade (telmisartan). Serum MMP-10 and TIMP-1 levels were measured in 268 type 2 diabetic subjects and 111 controls. Furthermore, histological and molecular analyses were performed to evaluate the renal expression of Mmp10 and Timp1 in a murine model of early type 2 DKD (db/db) after telmisartan treatment. MMP-10 (473 ± 274 pg/ml vs. 332 ± 151; p = 0.02) and TIMP-1 (573 ± 296 ng/ml vs. 375 ± 317; p < 0.001) levels were significantly increased in diabetic patients as compared to controls. An early increase in MMP-10 and TIMP-1 was observed and a further progressive elevation was found as DKD progressed to end-stage renal disease. Diabetic mice had 4-fold greater glomerular Mmp10 expression and significant albuminuria compared to wild-type, which was prevented by telmisartan. MMP-10 and TIMP-1 are increased from the early stages of type 2 diabetes. Prevention of MMP-10 upregulation observed in diabetic mice could be another protective mechanism of RAS blockade in DKD.

scholarly journals Early Prediction Model for Type-2 Diabetes Based on Lifestyle

2020 ◽  
Vol 32 ◽  
pp. 03053
Author(s):  
Kirti Hirnak ◽  
Nikita Chaudhari ◽  
Akshay Singh ◽  
Deepali Patil
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Deep Learning ◽  
Chronic Disease ◽  
Diabetic Patients ◽  
Early Prediction ◽  
Learning Approaches ◽  
Random Forest Algorithm ◽  
Blurry Vision

Nowadays diabetes has become a chronic disease that may cause many complications. There are some symptoms of diabetes such as increased appetite, blurry vision, and extreme fatigue, etc. As the increasing deformity in present years the number of diabetic patients from the whole world will reach to 642 million. Diabetes accuracy is very difficult to know so in order to cure this disease. These causes us to concentrate more there to make some changes that will reduce these numbers. So to minimize these numbers of diabetes, we researched various algorithms and methods. The proposed method focuses on extracting the attributes that gives a result in early detection of Diabetes Mellitus in patients. Various existing processes provide just a result as the patient has diabetes or not which will require the patients to visit a diagnostic centers or to a doctor. So we proposed a system based on deep learning approaches that will help to solve a serious problem. These systems take collaborative inputs from dataset to give prediction with random forest algorithm which gives more accurate results.

scholarly journals Multifocal Electroretinogram Can Detect the Abnormal Retinal Change in Early Stage of type2 DM Patients without Apparent Diabetic Retinopathy

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jiang Huang ◽  
Yi Li ◽  
Yao Chen ◽  
Yuhong You ◽  
Tongtong Niu ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Early Stage ◽  
Multifocal Electroretinogram ◽  
Implicit Time ◽  
Diabetic Patients ◽  
Healthy Controls ◽  
Type 2 Diabetic Patients ◽  
Type 2 Dm ◽  
Retinal Change

Purpose. To study retinal function defects in type 2 diabetic patients without clinically apparent retinopathy using a multifocal electroretinogram (mf-ERG). Methods. Seventy-six eyes of thirty-eight type 2 diabetes mellitus(DM) patients without clinically apparent retinopathy and sixty-four normal eyes of thirty-two healthy control (HC) participants were examined using mf-ERG. Results. Patients with type 2 DM without apparent diabetic retinopathy demonstrated an obvious implicit time delay of P1 in ring 1, ring 3, and ring 5 compared with healthy controls ( t = 5.184 , p ≤ 0.001 ; t = 8.077 , p ≤ 0.001 ; t = 2.000 , p = 0.047 , respectively). The implicit time (IT) in ring 4 of N1wave was significantly delayed in the DM group ( t = 2.327 , p = 0.021 ). Compared with the HC group, the implicit time of the P1 and N1 waves in the temporal retina zone was significantly prolonged ( t = 3.66 , p ≤ 0.001 ; t = 2.187 , p = 0.03 , respectively). And the amplitude of P1 in the temporal retina decreased in the DM group, which had a significantly statistical difference with the healthy controls ( t = − 6.963 , p ≤ 0.001 ). However, there were no differences in either the amplitude of the response or the implicit time of the nasal retina zone between DM and HC. The AUC of multiparameters of mf-ERG was higher in the diagnosis of DR patients. Conclusions. Patients with type 2 DM without clinically apparent retinopathy had a delayed implicit time of P1 wave in temporal regions of the postpole of the retina compared with HC subjects. It demonstrates that mf-ERG can detect the abnormal retinal change in the early stage of type2 DM patients without apparent diabetic retinopathy. Multiparameters of mf-ERG can improve the diagnostic efficacy of DR, and it may be a potential clinical biomarker for early diagnosis of DR.

scholarly journals Distinct Gut Microbiota Induced by Different Fat-to-Sugar-Ratio High-Energy Diets Share Similar Pro-obesity Genetic and Metabolite Profiles in Prediabetic Mice

mSystems ◽  
2019 ◽  
Vol 4 (5) ◽  
Author(s):  
Kai Shan ◽  
Hongyan Qu ◽  
Keru Zhou ◽  
Liangfang Wang ◽  
Congmin Zhu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Gut Microbiota ◽  
Early Stage ◽  
Amplicon Sequencing ◽  
High Energy ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients

ABSTRACT Gut microbiota play important roles in host metabolism, especially in diabetes. However, why different diets lead to similar diabetic states despite being associated with different microbiota is not clear. Mice were fed two high-energy diets (HED) with the same energy density but different fat-to-sugar ratios to determine the associations between the microbiota and early-stage metabolic syndrome. The two diets resulted in different microbiota but similar diabetic states. Interestingly, the microbial gene profiles were not significantly different, and many common metabolites were identified, including l-aspartic acid, cholestan-3-ol (5β, 3α), and campesterol, which have been associated with lipogenesis and inflammation. Our study suggests that different metabolic-syndrome-inducing diets may result in different microbiota but similar microbiomes and metabolomes. This suggests that the metagenome and metabolome are crucial for the prognosis and pathogenesis of obesity and metabolic syndrome. IMPORTANCE Various types of diet can lead to type 2 diabetes. The gut microbiota in type 2 diabetic patients are also different. So, two questions arise: whether there are any commonalities between gut microbiota induced by different pro-obese diets and whether these commonalities lead to disease. Here we found that high-energy diets with two different fat-to-sugar ratios can both cause obesity and prediabetes but enrich different gut microbiota. Still, these different gut microbiota have similar genetic and metabolite compositions. The microbial metabolites in common between the diets modulate lipid accumulation and macrophage inflammation in vivo and in vitro. This work suggests that studies that only use 16S rRNA amplicon sequencing to determine how the microbes respond to diet and associate with diabetic state are missing vital information.

scholarly journals The study of Mean Platelet Volume (MPV) as a Potential Risk Factor for Macrovascular Complications (Ischemic Heart Disease and Cerebrovascular Stroke) in Type 2 Diabetes Mellitus

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
H M Amer ◽  
K M Makboul ◽  
B M Mostafa ◽  
C A Girgis ◽  
Y A Mohammed
Keyword(s):  
Myocardial Infarction ◽  
Diabetic Patients ◽  
Hypertensive Patients ◽  
Statistical Significant Difference ◽  
Group I ◽  
Significant Difference ◽  
Group Ii ◽  
Cerebrovascular Stroke ◽  
Type 2 Diabetic

Abstract Background Type 2 diabetes mellitus (T2DM) has reached global epidemic proportions, with more than 382 million people affected according to 2013 estimate. By 2035, its prevalence is expected to reach 471 million, meaning that 10% of the world’s population will have diabetes. Patients with diabetes often suffer from metabolic abnormalities, poor glycemic control, oxidative stress, insulin resistance, and low-grade inflammation. These conditions trigger vascular dysfunction, which predisposes them to atherothrombosis Objective The present study aimed to study the mean platelet volume (MPV) as a potential risk factor for ischemic heart disease and cerebrovascular stroke in type 2 diabetes. Methods The study was conducted on 150 subjects there ages ranged from 40 to 60 years old. They were divided into 4 groups: Group 1: included30 type 2 diabetic overweight or obese patients without previous history of myocardial infarction or cerebrovascular stroke. Then, they were subdivided into 2 subgroups: 1a) 15 diabetic non hypertensive patients. 1b) 15 diabetic hypertensive patients. Group 2: included A) 30 type 2 diabetic overweight or obese patients with recent cerebrovascular stroke. Then, they were subdivided into 2 subgroups: 2Aa) 15 diabetic non hypertensive patients. 2Ab) 15 diabetic hypertensive patients. B) 30 type 2 diabetic overweight or obese patients with acute myocardial infarction. Then, they were subdivided into 2 subgroups: 2Ba) 15 diabetic non hypertensive patients. 2Bb) 15 diabetic hypertensive patients. Group 3: 30 overweight or obese non-diabetic patients with acute myocardial infarction or recent cerebrovascular stroke. Then, they were subdivided into 3a) 15 patients with acute myocardial infarction. 3b) 15 patients with recent cerebrovascular stroke. Group 4: 30 Healthy control with matching age and sex and were subdivided into 2 subgroups: Control a) 15 lean subjects. Control b) 15 overweight or obese subjects. All subjects in this study were subjected to Full medical history taking. Thorough clinical examination (including weight, height, BMI, blood pressure). The following laboratory investigations were done: Fasting blood glucose, Two hour post prandial, HbA1c, Fasting insulin (for HOMA IR), Lipid profile (Total cholesterol-LDL-HDL-Triglycerides), Mean platelet volume and Liver and kidney function test. The following radiological investigation were done: Carotid ultrasonography for estimation of intima-media thickness and abdominal ultrasonography. Results As regards MPV, there was a high statistical significant difference between the studied groups (p-value&lt;0.01), being the highest in group II (mean 11.93 ± 0.37 fl) followed by group III (10.77±1.69 fl), group I (10.67±1.98 fl) and group IV (8.83±0.98 fl). On comparing between every other groups there was a high statistical significant difference between group (I) & (II) being higher in group II, (I) & (IV) being higher in group I, (II) & (III) being higher in group II, (II) & (IV) being higher in group II and (III) & (IV) being higher in group III (P value&lt;0.01). However, there was a non-statistical significant difference between group (I) & (III) regarding the MPV (P value&gt;0.05). On comparing between hypertensive and non-hypertensive patients in each group as regard MPV, there were non-significant statistical difference. Conclusion MPV was higher in type 2 diabetic patients than healthy control. Moreover, MPV was significantly higher in type 2 diabetic patients with macrovascular complications. There was no significant difference between hypertensive and non hypertensive patients as regard MPV. There was no significant difference between obese and lean subjects as regard MPV. There was a positive significant correlation between MPV and markers of glycemic control in T2DM.

scholarly journals Low Ankle-Brachial Index Is Associated with Early-Stage Chronic Kidney Disease in Type 2 Diabetic Patients Independent of Albuminuria

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e109641 ◽  
Author(s):  
Xuehong Dong ◽  
Dingting Wu ◽  
Chengfang Jia ◽  
Yu Ruan ◽  
Xiaocheng Feng ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Early Stage ◽  
Ankle Brachial Index ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

scholarly journals Cognitive impairments in type 2 diabetes, risk factors and preventive strategies

2020 ◽  
Vol 31 (2) ◽  
Author(s):  
Garima Sharma ◽  
Arti Parihar ◽  
Tanay Talaiya ◽  
Kirti Dubey ◽  
Bhagyesh Porwal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fruits And Vegetables ◽  
Early Stage ◽  
Cognitive Impairments ◽  
Diabetic Patients ◽  
Unhealthy Lifestyle

AbstractMild cognitive impairment (MCI) is a modifiable risk factor in progression of several diseases including dementia and type 2 diabetes. If cognitive impairments are not reversed at an early stage of appearance of symptoms, then the prolonged pathogenesis can lead to dementia and Alzheimer’s disease (AD). Therefore, it is necessary to detect the risk factors and mechanism of prevention of cognitive dysfunction at an early stage of disease. Poor lifestyle, age, hyperglycemia, hypercholesterolemia, and inflammation are some of the major risk factors that contribute to cognitive and memory impairments in diabetic patients. Mild cognitive impairment was seen in those individuals of type 2 diabetes, who are on an unhealthy diet. Physical inactivity, frequent alcohol consumptions, and use of packed food products that provides an excess of cheap calories are found associated with cognitive impairment and depression in diabetic patients. Omega fatty acids (FAs) and polyphenol-rich foods, especially flavonoids, can reduce the bad effects of an unhealthy lifestyle; therefore, the consumption of omega FAs and flavonoids may be beneficial in maintaining normal cognitive function. These functional foods may improve cognitive functions by targeting many enzymes and molecules in cells chiefly through their anti-inflammatory, antioxidant, or signaling actions. Here, we provide the current concepts on the risk factors of cognitive impairments in type 2 diabetes and the mechanism of prevention, using omega FAs and bioactive compounds obtained from fruits and vegetables. The knowledge derived from such studies may assist physicians in managing the health care of patients with cognitive difficulties.

Sign in / Sign up

Export Citation Format

Share Document